Data Scientist working on perception verification and validation for autonomous vehicles. Collaborating with engineers to define performance metrics and analyze data insights in a fast-paced environment.
Responsibilities
Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the end-to-end system behavior
Create and maintain datasets used to evaluate the perception stack and end-to-end driving performance.
Analyze large scale metric results to identify patterns and insights about perception failure modes. Present results and insights to leadership.
Design and implement statistical methods to quantify uncertainty in our performance and validation metrics.
Requirements
Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field
Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code
Basic experience with autonomous driving, safety-critical systems, or computer vision systems.
Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business.
Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact.
Benefits
paid time off (e.g. sick leave, vacation, bereavement)
unpaid time off
Zoox Stock Appreciation Rights
Amazon RSUs
health insurance
long-term care insurance
long-term and short-term disability insurance
life insurance
Job title
Data Scientist – Perception Verification and Validation
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